Evidence map›Paper›PMID 31565355›Full record

ReviewGlobal challenges (Hoboken, NJ)2019

A Review of State-of-the-Art Microfluidic Technologies for Environmental Applications: Detection and Remediation.

Maxine Yew, Yong Ren, Kai Seng Koh, Chenggong Sun, Colin Snape

Abstract readReview
In one paragraph

Review in Global challenges (Hoboken, NJ), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  15. Hypersound-Assisted Size Sorting of Microparticles on Inkjet-Patterned Protein Films.Langmuir : the ACS journal of surfaces and colloids · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Maxine YewDepartment of Mechanical Materials and Manufacturing Engineering University of Nottingham Ningbo China 199 Taikang East Road 315100 Ningbo China.ORCID https://orcid.org/0000-0002-5702-9117
Yong RenDepartment of Mechanical Materials and Manufacturing Engineering University of Nottingham Ningbo China 199 Taikang East Road 315100 Ningbo China.ORCID https://orcid.org/0000-0001-6865-5861
Kai Seng KohSchool of Engineering and Physical Sciences Heriot-Watt University Malaysia No. 1 Jalan Venna P5/2, Precinct 5 62200 Putrajaya Malaysia.ORCID https://orcid.org/0000-0002-3760-9560
Chenggong SunFaculty of Engineering University of Nottingham The Energy Technologies Building, Jubilee Campus Nottingham NG7 2TU UK.ORCID https://orcid.org/0000-0001-7546-1475
Colin SnapeFaculty of Engineering University of Nottingham The Energy Technologies Building, Jubilee Campus Nottingham NG7 2TU UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microfluidic systems have advanced beyond natural and life science applications and lab-on-a-chip uses. A growing trend of employing microfluidic technologies for environmental detection has emerged thanks to the precision, time-effectiveness, and cost-effectiveness of advanced microfluidic systems. This paper reviews state-of-the-art microfluidic technologies for environmental applications, such as on-site environmental monitoring and detection. Microdevices are extensively used in collecting environmental samples as a means to facilitate detection and quantification of targeted components with minimal quantities of samples. Likewise, microfluidic-inspired approaches for separation and treatment of contaminated water and air, such as the removal of heavy metals and waterborne pathogens from wastewater and carbon capture are also investigated.

Indexed as

droplet microfluidicsfunctional materialsmicrodevices

Identifiers

PMID31565355
PMCPMC6383963

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.